Year-Round Graduate Internship - AI/Machine Learning Time Series Modeling

Nrel is hiring a Year-Round Graduate Internship - AI/Machine Learning Time Series Modeling in On-site. Pay stated by the employer: $44,500-$71,200/yr. Posted November 13, 2026. Checked against the employer's posting on November 14, 2026.

Posting Title Graduate Internship (Year-Round) - AI/Machine Learning Time Series Modeling . Location Remote . Position Type Intern (Fixed Term) . Hours Per Week 40 .

Working at NLR Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration.

From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions.

Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories.

We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description We see our interns as the workforce of the future, helping us drive our mission and the nation forward.

Our interns: • Gain access to state-of-the-art systems and seasoned mentors • Strengthen skills through professional development • Hear from world-class experts and top executives during our lecture series • Learn about our lab buildings and the work going on by taking onsite tours • Have fun and engage with other interns by joining clubs and personal interest groups This internship position will be working on frontier artificial intelligent foundation models for grid applications, such as weather and grid forecasting within the Grid Innovation and Operations (GIO) group in the Power System Engineering Center (PSEC).

NLR's Power Systems Engineering Center (PSEC) conducts high-impact research and development that provides practical solutions to enable secure, reliable, and affordable energy systems.

This role will work under the Grid Innovation and Operations group which advances research and development across the power grid, spanning transmission, distribution, and grid-edge systems.

We focus on pioneering digital twins, artificial intelligence, and other emerging technologies to transform how power grids are monitored, controlled, and operated.

Through cutting-edge research and innovative solutions, we aim to enable a more reliable, secure, resilient, and affordable electric grid of the future.

https://www.nlr.gov/grid/sensing-predictive-analytics Job duties for this graduate-level, year-round internship include: • Pre-train and fine-tune frontier AI foundation models using HPC • Develop slide decks and reports related to scientific findings • Disseminate results through papers and presentations • Other responsibilities as determined .

Basic Qualifications Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.

Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution.

Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution.

Please Note: • Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. • If selected for position, a letter of recommendation will be required as part of the hiring process.

• Must meet educational requirements prior to employment start date. * Must meet educational requirements prior to employment start date. Additional Required Qualifications • Graduate student with frontier AI, machine learning for time series forecasting experience • Pre-training or fine-tuning large AI foundation models using HPC • Weather and/or energy forecasting experience • Experience building agentic AI workflows Preferred Qualifications • Published peer-review papers .

Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be extended as needed. Annual Salary Range (based on full-time 40 hours per week) Job Profile: / Annual Salary Range: $44,500 - $71,200 NLR takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees.

In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions. Benefits Summary Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law).

NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.

Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. * Based on eligibility rules Badging Requirement NLR is subject to Department of Energy (DOE) access restrictions.

All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.

Intern assignments extending beyond six months will be subject to this requirement. Drug Free Workplace NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs.

Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment.

Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified.

Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations E -Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish. E-Verify is a registered trademark of the U.

S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.